State-dependent sampling for online control
Type de document :
Partie d'ouvrage
Titre :
State-dependent sampling for online control
Auteur(s) :
Fiter, Christophe [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Perruquetti, Wilfrid [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Richard, Jean-Pierre [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Perruquetti, Wilfrid [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Richard, Jean-Pierre [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Éditeur(s) ou directeur(s) scientifique(s) :
Alexandre Seuret
Hitay Özbay
Catherine Bonnet
Hugues Mounier
Hitay Özbay
Catherine Bonnet
Hugues Mounier
Titre de l’ouvrage :
Low-Complexity Controllers for Time-Delay Systems
Éditeur :
Springer International Publishing
Date de publication :
2014
ISBN :
978-3-319-05575-6
Discipline(s) HAL :
Informatique [cs]/Automatique
Résumé en anglais : [en]
In this chapter, we present a novel self-triggered control which aims at decreasing the number of sampling instants for the state feedback control of perturbed linear time invariant systems. The approach is based on convex ...
Lire la suite >In this chapter, we present a novel self-triggered control which aims at decreasing the number of sampling instants for the state feedback control of perturbed linear time invariant systems. The approach is based on convex embeddings that allow for designing a state-dependent sampling function guaranteeing the system's exponential stability for a desired decay-rate and norm-bounded perturbations. One of the main contributions of this work is an LMI based algorithm that optimizes the choice of the Lyapunov function so as to enlarge the lower-bound of the sampling function while taking into account both the perturbations and the decay-rate. The advantages of the approach are illustrated with a numerical example from the literature.Lire moins >
Lire la suite >In this chapter, we present a novel self-triggered control which aims at decreasing the number of sampling instants for the state feedback control of perturbed linear time invariant systems. The approach is based on convex embeddings that allow for designing a state-dependent sampling function guaranteeing the system's exponential stability for a desired decay-rate and norm-bounded perturbations. One of the main contributions of this work is an LMI based algorithm that optimizes the choice of the Lyapunov function so as to enlarge the lower-bound of the sampling function while taking into account both the perturbations and the decay-rate. The advantages of the approach are illustrated with a numerical example from the literature.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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